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Neuro-Fuzzy Based Model Reference Adaptive Control for Induction Motor Drive
(0-Belirlenecek, 2017)
An adaptive neuro-fuzzy inference system (ANFIS) based model reference adaptive control (MRAC) approach for vector controlled induction motor drive system is proposed in this paper. Due to the complex and nonlinear ...
PERFORMANCE ANALYSIS OF SPEED CONTROL OF INDUCTION MOTOR USING CLASSIC PID AND FUZZY LOGIC CONTROLLERS
(I. ULUSLARARASI BATTALGAZİ MULTİDİSİPLİNER ÇALIŞMALAR KONGRESİ, 2018)
Endüstride değişken hızlı tahrik sistemlerinde doğru akım (DC) makinaları yerine ataletlerinin düşük olması, olumsuz ortam koşullarına dayanıklı olmaları, düşük maliyet, bakım gerektirmemeleri, fırça ve kolektör bulundurmamaları ...
Modelling and Performance Comparison of PD and Takagi-Sugeno Type Fuzzy Logic Controllers for Inverted Pendulum System
(Bitlis Eren University Journal of Science and Technology, 2016)
In recent years, fuzzy logic based modeling and control methods have been increasingly used in the academic field. Inverted pendulum system consists of conventional materials with nonlinear dynamic structure in order to ...
Adaptive Controller with RBF Neural Network for Induction Motor Drive
(0-Belirlenecek, 2018)
In this paper, the radial basis function neural network-based model reference adaptive speed control for vector controlled induction motor drive system is presented. The speed control of induction motors is challenging ...
PSO Algoritması ile Optimize Edilmiş PID Denetleyicinin Fotovoltaik MPPT Sistemine Uyarlanması
(0-Belirlenecek, 2017)
Maksimum güç noktası izleyici (MPPT), fotovoltaik (PV) sistemlerde, DC-DC dönüştürücülerin anahtarlama görev süresi (duty cycle) değiştirerek çıkış gücünü maksimize etmek için kullanılır. Bu çalışmada, PV sistemler için ...
An EfficientAdaptive Controller Design for Three Phase Induction Motors Based on RBF Neural Network
(European Journal of Technic (EJT), 2017)
There are difficulties in control of induction motors which are widely used in industrial applications due to their nonlinear complicated structures. Nowadays the use of advanced control methods along with technological ...
RBF Identifier Based Adaptive Sugeno Type FLC for Vector Controlled Asynchronous Motor
(IOSR Journal of Engineering (IOSRJEN), 2016)
In this paper a simulation study of Adaptive Sugeno type Fuzzy Logic Control (FLC) for indirect field oriented controlled (IFOC) asynchronous motor drive system have been suggested. The structure of control scheme consists ...
Vektör Kontrollü Asenkron Motorların RTYSA Temelli Model Referans Adaptif Kontrol ile Değişken Yük Altında Hız Denetimi
(Akademik Platform Mühendislik ve Fen Bilimleri Dergisi, 2015)
In the speed control of induction motors, an acceptable good performance cannot be obtained by using traditional feedback controllers due to the non-linear structure of the system, the effects of changing environmental ...
Model Reference Adaptive Control based on RBFNN for Speed Control of Induction Motors
(International Conference on Natural Science and Engineering (ICNASE’16), 2016)
In speed control of induction motors, generally the performance of induction motor by feedback controllers has been insufficient due to non-linear structure of the system, changing environmental conditions, and undesired ...
An Efficient Speed Control Method Based on Neuro Fuzzy Modeling for Asynchronous Motors
(0-Belirlenecek, 2018)
In this study, a robust speed control based on adaptive neuro-fuzzy inference technique is proposed for asynchronous motors driven by indirect field oriented vector algorithm. The speed control performance of asynchronous ...
